Abstract

We describe the implementation and evaluate the performance of a replica location service that is part of the Globus Toolkit Version 3.0. A replica location service (RLS) provides a mechanism for registering the existence of replicas and discovering them. Features of our implementation include the use of soft state update protocols to populate a distributed index and optional Bloom filter compression to reduce the size of these updates. Our results demonstrate that RLS performance scales well for individual servers with millions of entries and up to 100 requesting threads. We also show that the distributed RLS index scales well when using Bloom filter compression for wide area updates.

Metadata

publication

Proceedings. 13th IEEE International Symposium on High performance …, 2004

year

2004

publication date

2004/6/4

authors

Ann L Chervenak, Naveen Palavalli, Shishir Bharathi, Carl Kesselman, Robert Schwartzkopf

link

https://ieeexplore.ieee.org/abstract/document/1323525/

resource_link

https://marketing.globuscs.info/production/strapi/uploads/chervenakhpdc13_628669f83a.pdf

conference

Proceedings. 13th IEEE International Symposium on High performance Distributed Computing, 2004.

pages

182-191

publisher

IEEE